Level 200: Intermediate - Architecture & Pre-Sales
Overview
Develop the ability to design solutions, plan deployments, and address customer-specific requirements for sovereign cloud architectures.
Learning Objectives
By the end of Level 200, you will be able to:
Sales & Pre-Sales Track
- ✅ Map customer requirements to appropriate sovereign cloud models
 - ✅ Conduct TCO and ROI analysis for Azure Local deployments
 - ✅ Position solutions against competitive offerings
 - ✅ Qualify Edge RAG opportunities
 - ✅ Present complete business cases to customers
 
Technical Track
- ✅ Design Sovereign Landing Zone architectures
 - ✅ Plan Azure Local deployments (connected and disconnected)
 - ✅ Understand Edge RAG deployment prerequisites
 - ✅ Architect hybrid connectivity solutions
 - ✅ Implement governance and compliance controls
 
Prerequisites
Before starting Level 200, ensure you have:
- Completed Level 100 learning objectives
 - Recommended: AZ-900 (Azure Fundamentals) certification or equivalent knowledge
 - Access to an Azure subscription (for technical track)
 - Access to lab environment or Azure Local hardware for hands-on exercises
 
Estimated Time Commitment: 6-10 hours per week
Total Program Duration: 4-6 weeks (to complete all 3 modules)
Completed to Date: 2 of 6 planned modules (~234 KB of content)
Total Planned Hours: 21-27 hours core content + hands-on labs
Learning Modules
Module 1: Azure Local Architecture Deep Dive
| Duration: 6-8 hours | Status: ✅ Complete | 
Explore advanced Azure Local deployment patterns, hardware planning, high-availability architectures, and advanced networking scenarios for enterprise edge deployments.
Core Topics:
- Main Page: Azure Local Architecture Deep Dive
 - Hardware Planning & Sizing
 - High-Availability Patterns
 - Advanced Networking Configurations
 - Knowledge Check
 
Module 2: Arc Advanced Management
| Duration: 7-9 hours | Status: ✅ Complete | 
Master enterprise-scale governance, cost optimization, and security hardening for Azure Arc across hybrid and multi-cloud environments.
Core Topics:
- Main Page: Arc Advanced Management
 - Policy & Governance at Scale
 - Cost Optimization Strategies
 - Enterprise Deployment Patterns
 - Knowledge Check
 
Module 3: Edge RAG Implementation
| Duration: 8-10 hours | Status: ✅ Complete | 
Master production-ready Retrieval-Augmented Generation deployment patterns, LLM optimization, vector database tuning, and operational excellence for enterprise edge deployments.
Core Topics:
- Main Page: Edge RAG Implementation
 - LLM Inference Optimization
 - Vector Databases for Edge
 - RAG Deployment Strategies
 - RAG Operations & Monitoring
 - Knowledge Check
 
Module 4: Pre-Sales & Solution Design
| Duration: 5-7 hours | Status: ✅ Complete | 
Master customer discovery, solution architecture, sizing methodologies, and business case development for sovereign cloud implementations.
Core Topics:
- Main Page: Pre-Sales Solution Design
 - Customer Discovery Framework
 - Solution Sizing Methodologies
 - TCO & Cost Estimation
 - Knowledge Check
 
Module 5: Compliance & Security Patterns
| Duration: 6-8 hours | Status: ✅ Complete | 
Master regulatory compliance frameworks (GDPR, FedRAMP), encryption strategies, key management, security hardening, and incident response for sovereign cloud deployments.
Core Topics:
- Main Page: Compliance & Security Patterns
 - GDPR Implementation Guide
 - FedRAMP Compliance
 - Encryption & Key Management
 - Security Hardening Practices
 - Knowledge Check
 
Module 6: Hands-On Labs
| Duration: 11-16 hours | Status: ✅ Complete | 
Five progressive hands-on labs reinforcing Modules 1-5 through practical implementation of Azure Local, Azure Arc, Edge RAG, policy governance, and monitoring in a complete sovereign cloud environment.
Lab Overview:
- Lab 1: Azure Local Deployment (2-3h)
    
- Deploy Azure Local in connected mode with sample applications
 
 - Lab 2: Azure Arc Onboarding (2-3h)
    
- Register and manage resources with Arc, GitOps, extensions
 
 - Lab 3: Edge RAG Setup (3-4h)
    
- Complete RAG system with Weaviate, Ollama, and FastAPI
 
 - Lab 4: Policy & Governance (2-3h)
    
- Custom policies, Kubernetes enforcement, compliance monitoring
 
 - Lab 5: Monitoring & Observability (2-3h)
    
- End-to-end monitoring with Log Analytics, alerts, and dashboards
 
 
Module 6 Overview & Navigation
Recommended Microsoft Learn Resources
Essential Learning
- Implement Azure Landing Zones
    
- Foundation for sovereign landing zones
 
 - Configure Azure Arc-enabled Kubernetes
    
- Essential for Azure Local management
 
 - Manage hybrid workloads with Azure Arc
    
- Complete learning path for hybrid scenarios
 
 
Recommended Reading
- Sovereign Landing Zone architecture - SLZ design principles
 - Azure Local deployment overview - Deployment planning guide
 - Disconnected operations overview - Air-gapped deployment guidance
 - Edge RAG deployment prerequisites - Complete prerequisites checklist
 
Hands-On Labs
Lab 1: Azure Local Architecture & Hardware Sizing
Objective: Plan and document an advanced Azure Local deployment scenario with proper hardware sizing
Module: Azure Local Architecture Deep Dive
Prerequisites:
- Completion of Module 1: Azure Local Architecture Deep Dive
 - Access to Azure Local sizing tool
 - Understanding of customer requirements
 
Estimated Time: 2-3 hours
Topics Covered:
- Hardware planning and capacity calculations
 - High-availability pattern design
 - Network configuration for edge scenarios
 
Lab 2: Arc Advanced Governance & Cost Analysis
Objective: Design an enterprise Arc governance framework with policy enforcement and cost optimization strategies
Module: Arc Advanced Management
Prerequisites:
- Completion of Module 2: Arc Advanced Management
 - Access to an Azure subscription
 - Understanding of Azure Policy
 
Estimated Time: 2-3 hours
Topics Covered:
- Azure Policy implementation at scale
 - Cost optimization strategies
 - Enterprise governance patterns
 
Lab 3: Edge RAG Infrastructure Preparation
Objective: Set up and optimize infrastructure for Edge RAG production deployment
Module: Edge RAG Implementation
Prerequisites:
- Completion of Module 3: Edge RAG Implementation
 - AKS Arc cluster or ability to create one
 - Linux VM or container environment
 
Estimated Time: 3-4 hours
Topics Covered:
- Vector database setup and indexing
 - LLM model deployment and optimization
 - RAG system monitoring and operations
 
Success Criteria
Module 1: Azure Local Architecture Deep Dive ✅
You have successfully completed Module 1 when you can:
- ✓ Design advanced Azure Local architectures for enterprise deployments
 - ✓ Plan hardware sizing and capacity management
 - ✓ Architect high-availability patterns for edge scenarios
 - ✓ Configure advanced networking for hybrid environments
 - ✓ Successfully complete the deep-dive quiz
 
Module 2: Arc Advanced Management ✅
You have successfully completed Module 2 when you can:
- ✓ Implement enterprise-scale governance policies across Arc resources
 - ✓ Design cost optimization strategies for hybrid environments
 - ✓ Develop enterprise governance patterns (hub-spoke, federation, zero-trust)
 - ✓ Analyze TCO and ROI for multi-cloud Arc deployments
 - ✓ Successfully complete the advanced quiz
 
Module 3: Edge RAG Implementation ✅
You have successfully completed Module 3 when you can:
- ✓ Design production-ready RAG deployment architectures
 - ✓ Optimize LLM inference for edge environments
 - ✓ Select and tune vector databases for enterprise use
 - ✓ Implement RAG deployment patterns and strategies
 - ✓ Monitor and operate RAG systems in production
 - ✓ Successfully complete the implementation quiz
 
Next Steps
Current Progress
✅ Completed: Modules 1, 2, 3, 4, 5, and 6 (All Level 200 modules!)
Duration: 33-48 hours of comprehensive intermediate content
Status: Level 200 is 100% complete with all hands-on labs
Module Roadmap
| Module | Status | Topics | Duration | Files | 
|---|---|---|---|---|
| Module 1 | ✅ Complete | Azure Local Architecture, Hardware Planning, HA Patterns, Advanced Networking | 6-8 hrs | 5 | 
| Module 2 | ✅ Complete | Arc Governance, Cost Optimization, Enterprise Patterns | 7-9 hrs | 5 | 
| Module 3 | ✅ Complete | RAG Deployment, LLM Optimization, Vector Databases, Operations | 8-10 hrs | 6 | 
| Module 4 | ✅ Complete | Pre-Sales, Discovery, Sizing, Cost Estimation | 5-7 hrs | 5 | 
| Module 5 | ✅ Complete | Compliance, GDPR, FedRAMP, Encryption, Security Hardening | 6-8 hrs | 6 | 
| Module 6 | ✅ Complete | Hands-On Labs (5 progressive labs with Azure Local, Arc, RAG, Policy, Monitoring) | 11-16 hrs | 6 | 
| Level 200 Total | ✅ Complete | All intermediate topics with practical labs | 43-58 hrs | 33 files | 
Success Criteria
Module 4: Pre-Sales & Solution Design ✅
You have successfully completed Module 4 when you can:
- ✓ Conduct customer discovery and requirements gathering
 - ✓ Analyze competitive positioning and market differentiation
 - ✓ Perform TCO and ROI calculations for sovereign cloud solutions
 - ✓ Design complete customer proposals with business cases
 - ✓ Successfully complete the pre-sales quiz
 
Module 5: Compliance & Security Patterns ✅
You have successfully completed Module 5 when you can:
- ✓ Implement GDPR compliance requirements for data processing
 - ✓ Meet FedRAMP compliance for government cloud deployments
 - ✓ Design encryption strategies (at-rest and in-transit)
 - ✓ Manage cryptographic keys with Azure Key Vault
 - ✓ Implement zero-trust security architecture
 - ✓ Design incident response procedures
 - ✓ Successfully complete the compliance quiz
 
Module 6: Hands-On Labs ✅
You have successfully completed Module 6 when you can:
- ✓ Deploy and configure Azure Local in connected mode (Lab 1)
 - ✓ Register Kubernetes clusters with Azure Arc (Lab 2)
 - ✓ Implement complete Edge RAG solution (Lab 3)
 - ✓ Enforce governance policies across hybrid infrastructure (Lab 4)
 - ✓ Configure comprehensive monitoring and alerting (Lab 5)
 - ✓ All validation steps passing on 5 labs
 - ✓ Total hands-on experience: 11-16 hours across 5 labs
 
Last Updated: October 2025